Update README.md

README.md

@@ -15,7 +15,7 @@ pipeline_tag: text-generation
 library_name: transformers
 ---
 
-# Llama-Carvalho-HQ
+# Llama-Carvalho-PT-GL
 
 ## Table of Contents
 <details>
@@ -41,13 +41,13 @@ library_name: transformers
 
 ## Model description
 
-**Llama-Carvalho-HQ** is a 8B-parameter transformer-based causal language model for Galician, Portuguese, Spanish and English. 
+**Llama-Carvalho-PT-GL** is a 8B-parameter transformer-based causal language model for Galician, Portuguese, Spanish and English. 
 It is the result of a continual pretraining of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) with a multilingual corpus consisting of 540M tokens of plain text and 72M tokens of instructions (formated as plain text)
 
 This model is part of the **Carvalho familily**, a family of LLMs specialized in Portuguese and Galician. Smaller models can be found [here](https://huggingface.co/Nos-PT/Carvalho_pt-gl-1.3B)
 ## Intended uses and limitations
 
-The **Llama-Carvalho-HQ** model is ready-to-use only for causal language modeling. 
+The **Llama-Carvalho-PT-GL** model is ready-to-use only for causal language modeling. 
 It can perform text-generation tasks and be fine-tuned for specific scenarios.
 
 ## How to use
@@ -57,7 +57,7 @@ from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
 
 input_text = "Hoxe fai un bo día. O sol  "
 
-model_id  = "Nos-PT/Llama-Carvalho-HQ"
+model_id  = "Nos-PT/Llama-Carvalho-PT-GL"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForCausalLM.from_pretrained(model_id)
 generator = pipeline(